100+ datasets found
  1. Total population of South Africa 2022, by ethnic groups

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Total population of South Africa 2022, by ethnic groups [Dataset]. https://www.statista.com/statistics/1116076/total-population-of-south-africa-by-population-group/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    As of 2022, South Africa's population increased and counted approximately 60.6 million inhabitants in total, of which the majority (roughly 49.1 million) were Black Africans. Individuals with an Indian or Asian background formed the smallest population group, counting approximately 1.56 million people overall. Looking at the population from a regional perspective, Gauteng (includes Johannesburg) is the smallest province of South Africa, though highly urbanized with a population of nearly 16 million people.

    Increase in number of households

    The total number of households increased annually between 2002 and 2022. Between this period, the number of households in South Africa grew by approximately 65 percent. Furthermore, households comprising two to three members were more common in urban areas (39.2 percent) than they were in rural areas (30.6 percent). Households with six or more people, on the other hand, amounted to 19.3 percent in rural areas, being roughly twice as common as those in urban areas.

    Main sources of income

    The majority of the households in South Africa had salaries or grants as a main source of income in 2019. Roughly 10.7 million drew their income from regular wages, whereas 7.9 million households received social grants paid by the government for citizens in need of state support.

  2. Total population of South Africa 2024, by age group

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Total population of South Africa 2024, by age group [Dataset]. https://www.statista.com/statistics/1116077/total-population-of-south-africa-by-age-group/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    South Africa
    Description

    As of 2024, South Africa's population increased, counting approximately 63 million inhabitants. Of these, roughly 27.5 million were aged 0-24, while 654,000 people were 80 years or older. Gauteng and Cape Town are the most populated South Africa’s yearly population growth has been fluctuating since 2013, with the growth rate dropping below the world average in 2024. The majority of people lived in the borders of Gauteng, the smallest of the nine provinces in terms of land area. The number of people residing there amounted to 16.6 million in 2023. Although the Western Cape was the third-largest province, the city of Cape Town had the highest number of inhabitants in the country, at 3.4 million. An underemployed younger population South Africa has a large population under 14, who will be looking for job opportunities in the future. However, the country's labor market has had difficulty integrating these youngsters. Specifically, as of the fourth quarter of 2024, the unemployment rate reached close to 60 percent and 384 percent among people aged 15-24 and 25–34 years, respectively. In the same period, some 27 percent of the individuals between 15 and 24 years were economically active, while the labor force participation rate was higher among people aged 25 to 34, at 74.3 percent.

  3. Population of South Africa 2022, by age group and gender

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Population of South Africa 2022, by age group and gender [Dataset]. https://www.statista.com/statistics/1330839/population-of-south-africa-by-age-group-and-gender/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    As of 2022, children between 10 and 14 years (over 5.7 million people) represented the largest share of the total South African population. In this age group, there were almost 66,000 more boys than girls. Moreover, in all the age groups between zero and 39 years, the number of men was higher than that of women. However, among South Africans aged 40 or older, the count of women in the population was greater than that of men.

  4. T

    South Africa Population

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 10, 2012
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    TRADING ECONOMICS (2012). South Africa Population [Dataset]. https://tradingeconomics.com/south-africa/population
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 10, 2012
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    South Africa
    Description

    The total population in South Africa was estimated at 63.0 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - South Africa Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. South African Census 1970 - South Africa

    • datafirst.uct.ac.za
    Updated Mar 28, 2020
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    Department of Statistics (now Statistics South Africa) (2020). South African Census 1970 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/249
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    Dataset updated
    Mar 28, 2020
    Dataset provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Authors
    Department of Statistics (now Statistics South Africa)
    Time period covered
    1970
    Area covered
    South Africa
    Description

    Abstract

    The 1970 South African Population Census collected data on dwellings and individuals' demographic, migration, family and employment details.

    Geographic coverage

    National coverage of the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal, and the so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, Kwandebele, Transkei and Bophuthatswana.

    Analysis unit

    The units of analysis for the South African Census 1970 were households and individuals

    Universe

    The South African population census of 1970 covered all de jure household members (usual residents) of South Africa and the "national states".

    The Census was enumerated on a de facto basis, that is, according to the place where persons were located during the census. All persons who were present on Republic of South African territory during census night were enumerated and included in the data. Visitors from abroad who were present in the RSA on holiday or business on the night of the census, as well as foreigners (and their families) who were studying or economically active, were not enumerated and included in the figures. Likewise, members of the Diplomatic and Consular Corps of foreign countries were not included. However, the South African personnel linked to the foreign missions including domestic workers were enumerated. Crews and passengers of ships were also not enumerated, unless they were normally resident in the Republic of South Africa. Residents of the RSA who were absent from the night were as far as possible enumerated on their return and included in the region where they normally resided. Personnel of the South African Government stationed abroad and their families were, however enumerated. Such persons were included in the Transvaal (Pretoria).

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    The 1970 Census was a full count for Whites, Coloureds and Asians, and a 5% sample for Blacks (Africans)

    Sampling deviation

    The country was divided into 400 census districts for the 1970 Census. In most cases the boundaries of the census districts corresponded with those of the magisterial districts. However, in some cases the boundaries did not correspond, particularly in the areas in and around the "National States". This was to facilitate the administration of the census and to make it easier to exclude figures of the "National states" from provincial totals.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 1970 Population Census of the Republic of South Africa questionnaires were: Form 01, to be completed by "Whites, Coloured and Asiatics" Form 02, to be completed by "Bantu" Form 03, for families, households and dwellings

    Form 01 collected data on relationship to household head, population group, sex, age, marital status, place of birth, and citizenship, as well as usual place of residence, home language, religion, level of education and income. Employment data collected included occupation, employment status and industry type.

    Form 02 collected data for African South Africans on relationship to household head, sex, age, marital status, fertility, place of birth, home language and literacy, religion and level of education. Employment data collected included occupation, employment status and industry type.

    Form 03 collected household data, including data on dwelling type, building material of dwelling walls, number of rooms and age of the dwelling. Data on home ownership. Data was also collected on the number and sex of household members and their relationship to the household head. Data on household heads included their population group, age and marital status. Income data was also collected, for husbands and wives. Data on home ownership, household size and domestic workers was also collected, but for Urban households only.

  6. M

    South Africa Population Growth Rate 1961-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). South Africa Population Growth Rate 1961-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/zaf/south-africa/population-growth-rate
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    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1961 - May 29, 2025
    Area covered
    South Africa
    Description
    South Africa population growth rate for 2023 was 0.87%, a 0.02% increase from 2022.
    <ul style='margin-top:20px;'>
    
    <li>South Africa population growth rate for 2022 was <strong>0.84%</strong>, a <strong>0.16% decline</strong> from 2021.</li>
    <li>South Africa population growth rate for 2021 was <strong>1.00%</strong>, a <strong>0.22% decline</strong> from 2020.</li>
    <li>South Africa population growth rate for 2020 was <strong>1.22%</strong>, a <strong>0.07% decline</strong> from 2019.</li>
    </ul>Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
    
  7. South Africa ZA: Population: Growth

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). South Africa ZA: Population: Growth [Dataset]. https://www.ceicdata.com/en/south-africa/population-and-urbanization-statistics/za-population-growth
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    South Africa
    Variables measured
    Population
    Description

    South Africa ZA: Population: Growth data was reported at 1.245 % in 2017. This records a decrease from the previous number of 1.301 % for 2016. South Africa ZA: Population: Growth data is updated yearly, averaging 2.282 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.794 % in 1972 and a record low of 1.047 % in 2008. South Africa ZA: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

  8. e

    South Africa - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Jul 23, 2024
    + more versions
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    (2024). South Africa - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/south-africa-population-density-2015
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    Dataset updated
    Jul 23, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Africa
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

  9. t

    Race by Percentages in South Africa

    • theafricangourmet.com
    csv
    Updated Jan 17, 2017
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    Chic African Culture (2017). Race by Percentages in South Africa [Dataset]. https://www.theafricangourmet.com/2017/01/you-cant-hide-your-lying-eyes.html
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    csvAvailable download formats
    Dataset updated
    Jan 17, 2017
    Authors
    Chic African Culture
    Variables measured
    Race
    Description

    This dataset provides the racial demographics of South Africa based on percentages as reported in the 2018 South African Census.

  10. Population Census 1991 - South Africa

    • datacatalog.ihsn.org
    • dev.ihsn.org
    • +2more
    Updated Mar 29, 2019
    + more versions
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    Statistics South Africa (2019). Population Census 1991 - South Africa [Dataset]. https://datacatalog.ihsn.org/catalog/2866
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1991
    Area covered
    South Africa
    Description

    Abstract

    The 1991 South African population census was an enumeration of the population and housing in South Africa.The census collected data on dwellings and individuals' demographic, family and employment details.

    Geographic coverage

    The South African Census 1991 covered the whole of South Africa. The "homelands" of Transkei, Bophuthatswana, Venda and Ciskei were enumerated separately and the dataset contains data files for Bophuthatswana, Venda and Ciskei. The dataset does not include a data file for the Transkei.

    Analysis unit

    The units of analysis under observation in the South African census 1991 are households and individuals

    Universe

    The 1991 Population Census was enumerated on a de facto basis, that is, according to the place where persons were located during the census. All persons who were present on Republic of South African territory during census night (i.e. at midnight between 7 and 8 March 1991) were therefore enumerated and included in the data. Visitors from abroad who were present in the RSA on holiday or business on the night of the census, as well as foreigners (and their families) who were studying or economically active, were enumerated and included in the figures. The Diplomatic and Consular Corps of foreign countries were not included. Crews and passengers of ships were also not enumerated, except those who were present at the harbours of the RSA on census night. Similarly, residents of the RSA who were absent from the night were not enumerated. Personnel of the South African Government stationed abroad and their families were, however enumerated. Such persons were included in the Transvaal (Pretoria).

    Kind of data

    Census/enumeration data [cen]

    Sampling deviation

    As a result of the unplanned and unstructured nature of certain residential areas, as well as the inaccessibility of certain areas during the preparations for the enumeration of census, comprehensive door-to-door surveys were not possible. The Human Sciences Research Council had to enumerate these areas by means of sample surveys. 88 areas country-wide were enumerated on this basis.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 1991 Population Census questionnaire covered particulars of households: dwelling type, ownership type, type of area (rural/urban) and particulars of individuals: relationship within household, sex, age, marital status, population group, birthplace, citizenship, duration of residency, religion, education level, language, literacy,employment status, occupation, economic sector and income.

  11. South African Census 1980 - South Africa

    • datafirst.uct.ac.za
    Updated May 9, 2020
    + more versions
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    Department of Statistics (now Statistics South Africa) (2020). South African Census 1980 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/252
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    Dataset updated
    May 9, 2020
    Dataset provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Authors
    Department of Statistics (now Statistics South Africa)
    Time period covered
    1980
    Area covered
    South Africa
    Description

    Abstract

    The 1980 South African Population Census was a count of all persons present on Republic of South African territory during census night (i.e. at midnight between 6 and 7 May 1980). The purpose of the population census was to collect detailed statistics on population size, composition and distribution at small area level. The 1980 South African Population Census contains data collected on HOUSEHOLDS: household goods and dwelling characteristics as well as employment of domestic workers; INDIVIDUALS: population group, citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities

    Geographic coverage

    The 1980 census covered the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal. It also covered areas in the so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, and Kwandebele. The 1980 South African census excluded the "independent states" of Bophuthatswana, Transkei, and Venda. A census data file for Bophuthatswana was released with the final South African Census 1980 dataset.

    Analysis unit

    Households and individuals

    Universe

    The 1980 South African census covered all household members (usual residents).

    The 1980 South African Population Census was enumerated on a de facto basis, that is, according to the place where persons were located during the census. All persons who were present on Republic of South African territory during census night (i.e. at midnight between 6 and 7 May 1980) were enumerated and included in the data. Visitors from abroad who were present in the RSA on holiday or business on the night of the census, as well as foreigners (and their families) who were studying or economically active, were not enumerated and included in the figures. Likewise, members of the Diplomatic and Consular Corps of foreign countries were not included. However, the South African personnel linked to the foreign missions including domestic workers were enumerated. Crews and passengers of ships were also not enumerated, unless they were normally resident in the Republic of South Africa. Residents of the RSA who were absent from the night were as far as possible enumerated on their return and included in the region where they normally resided. Personnel of the South African Government stationed abroad and their families were, however enumerated. Such persons were included in the Transvaal (Pretoria).

    Kind of data

    Census enumeration data

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 1980 Population Census questionnaire was administered to all household members and covered household goods and dwelling characteristics, and employment of domestic workers. Questions concerning individuals included those on citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities.

    The following questions appear in the questionnaire but the corresponding data has not been included in the data set: PART C: PARTICULARS OF DWELLING: 2. How many separate families (i) Number of families (ii) Number of non-family persons (iii) total number of occupants [i.e. persons in families shown against (i) plus persons shown against 3. Persons employed by household Full-time, Part-time (a) How many persons employed as domestics (b) Total cash wages paid to above –mentioned persons for April 1980 4. Ownership – Do not answer this question if your dwelling is on a farm. (i) Own dwelling – (Including hire-purchase, sectional title property or property of wife): (a) Is the dwelling Fully paid Partly paid-off (b) If partly paid-off, state monthly repayment (include housing subsidy, but exclude insurance. (ii) Rented or occupied free dwelling : (a) Is the dwelling occupied free, rented furnished, rented unfurnished (b) If rented, state monthly rent (c) Is the dwelling owned by the employer? (d) Does it belong to the state, SA Railways, a provincial administration, a divisional council, or a municipality or other local authority? PART D: PARTICULARS OF THE FAMILY 1. Number of members in the family 2. Occupation. (Nature of work done) (a) Head of family (b) Wife 3. Annual income of head of family and wife. Annual income of: Head, Wife (if applicable)

  12. Population Census 1996 - South Africa

    • catalog.ihsn.org
    • dev.ihsn.org
    • +2more
    Updated Mar 29, 2019
    + more versions
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    Statistics South Africa (2019). Population Census 1996 - South Africa [Dataset]. https://catalog.ihsn.org/catalog/2864
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1996
    Area covered
    South Africa
    Description

    Abstract

    Every person, household and institution present in South Africa on Census Night, 9-10 October 1996, should have been enumerated in Census '96. The intent was to provide a count of all persons present within the territory of the Republic of South Africa at that time. More specifically, the purpose of this census was to collect, process and disseminate detailed statistics on population size, composition and distribution at a small area level. The 1996 South African population Census contains data collected on HOUSEHOLDS and INSTITUTIONS: dwellling type, home ownership, household assets, access to services and energy sources; INDIVIDUALS: age, population group, language, religion, citizenship, migration, fertility, mortality and disability; and economic characteristics of individuals, including employment activities and unemployment.

    Geographic coverage

    The South African Census 1996 has national coverage.

    Analysis unit

    The units of analysis for the South Africa Census 1996 were households, individuals and institutions

    Universe

    The South African Census 1996 covered every person present in South Africa on Census Night, 9-10 October 1996 (except foreign diplomats and their families).

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    The data in the South African Census 1996 data file is a 10% unit level sample drawn from Census 1996 as follows:

    1) Households: • A 10% sample of all households (excluding special institutions and hostels)

    2) Persons: • A 10% sample of all persons as enumerated in the 1996 Population Census in South Africa

    The census household records were explicitly stratified according to province and district council. Within each district council the records were further implicitly stratified by local authority. Within each implicit stratum the household records were ordered according to the unique seven-digit census enumerator area number, of which the first three digits are the (old) magisterial district number.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Different methods of enumeration were used to accommodate different situations and a variety of questionnaires were used. The information collected with each questionnaire differed slightly. The questionnaires used were as follows:

    Questionnaire 1: (Household and personal questionnaire) This questionnaire was used in private households and within hostels which provided family accommodation. It contained 50 questions for each person and 15 for each household. Every household living in a private dwelling should have been enumerated on a household questionnaire. This questionnaire obtained information about the household and about each person who was present in the household on census night.

    Questionnaire 2: (Summary book for hostels) This questionnaire was used to list all persons/households in the hostel and included 9 questions about the hostel. A summary book for hostels should have been completed for each hostel (that is, a compound for workers provided by mines, other employers, municipalities or local authorities). This questionnaire obtained information about the hostel and also listed all household and/or persons enumerated in the hostel. Some hostels contain people living in family groups. Where people were living as a household in a hostel, they were enumerated as such on a household questionnaire (which obtained information about the household and about each person who was present in the household on Census Night). On the final census file, they will be listed as for any other household and not as part of a hostel. Generally, hostels accommodate mostly individual workers. In these situations, persons were enumerated on separate personal questionnaires. These questionnaires obtained the same information on each person as would have been obtained on the household questionnaire. The persons will appear on the census file as part of a hostel. Some hostels were enumerated as special institutions and not on the questionnaires designed specifically for hostels.

    Questionnaire 3: (Enumerator's book for special enumeration) This questionnaire was used to obtain very basic information for individuals within institutions such as hotels, prisons, hospitals etc. as well as for homeless persons. Only 6 questions were asked of these people. The questionnaire also included 9 questions about the institution. An enumerator's book for special enumeration should have been completed for each institution such as prisons and hospitals. This questionnaire obtained information on the institution and listed all persons present. Each person was asked a brief sub-set of questions - just 7 compared to around 50 on the household and personal questionnaires. People in institutions could not be enumerated as households. Homeless persons were enumerated during a sweep on census night using a special questionnaire. The results were later transcribed to standard enumerator's books for special enumeration to facilitate coding and data entry.

    Response rate

    The final calculation of the undercount of persons, based on analysis of a post-enumeration survey (PES) conducted shortly after the original census, was performed by Statistics South Africa. The estimated reponse rates are detailed below, both according to stratum and for the country as a whole. An estimated 10,7% of the people in South Africa, through the course of the census process, were not enumerated. For more information on the undercount and PES, see the publication, "Calculating the Undercount in Census '96", Statistics South Africa Report No. 03-01-18 (1996) which is included in the external documents section.

    Undercount of persons by province (stratum, in %):

    Western Cape 8,69
    Eastern Cape 10,57
    Northern Cape 15,59
    Free State 8,75
    KwaZulu-Natal 12,81
    North West 9,37
    Gauteng 9,99
    Mpumalanga 10,09
    Northern Province 11,28
    
    South Africa 10,69
    
  13. Population Census 1985 - South Africa

    • dev.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 25, 2019
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    Statistics South Africa (2019). Population Census 1985 - South Africa [Dataset]. https://dev.ihsn.org/nada/catalog/study/ZAF_1985_PHC_v01_M
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    Dataset updated
    Apr 25, 2019
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1985
    Area covered
    South Africa
    Description

    Geographic coverage

    The 1985 census covered the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal. It also covered the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele. The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.

    The 1985 Census dataset contains 9 data files. These refer to Development Regions demarcated by the South African Government according to their socio-economic conditions and development needs. These Development Regions are labeled A to J (there is no Region I, presumably because Statistics SA felt an "I" could be confused with the number 1). The 9 data files in the 1985 Census dataset refer to the following areas:

    DEV REGION AREA COVERED A Western Cape Province including Walvis Bay B Northern Cape C Orange Free State and Qwaqwa D Eastern Cape/Border E Natal and Kwazulu F Eastern Transvaal, KaNgwane and part of the Simdlangentsha district of Kwazulu G Northern Transvaal, Lebowa and Gazankulu H PWV area, Moutse and KwaNdebele J Western Transvaal

    Analysis unit

    The units of analysis under observation in the South African census 1985 are households and individuals

    Universe

    The South African census 1985 census covered the provinces of the Cape, the Orange Free State, Transvaal, and Nata and the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele. The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    Although the census was meant to cover all residents of the so called white areas of South Africa, in 88 areas door-to-door surveys were not possible and the population in these areas was enumerated by means of a sample survey conducted by the Human Sciences Research Council.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The1985 population census questionnaire was administered to each household and collected information on household and area type, and information on household members, including relationship within household, sex, age, marital status, population group, birthplace, country of citizenship, level of education, occupation, identity of employer and the nature of economic activities

    Data appraisal

    UNDER-ENUMERATION: The following under-enumeration figures have been calculated for the 1985 census. Estimated percentage distribution of undercount by race according to the HSRC: Percent undercount
    Whites 7.6%
    Blacks in the “RSA” 20.4% Blacks in the “National States” 15.1% Coloureds 1.0% Asians 4.6%

  14. Total population of South Africa 2023, by province

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Total population of South Africa 2023, by province [Dataset]. https://www.statista.com/statistics/1112169/total-population-of-south-africa-by-province/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    As of 2023, South Africa's population increased and counted approximately 62.3 million inhabitants in total, of which the majority inhabited Gauteng, KwaZulu-Natal, and the Western-Eastern Cape. Gauteng (includes Johannesburg) is the smallest province in South Africa, though highly urbanized with a population of over 16 million people according to the estimates. Cape Town, on the other hand, is the largest city in South Africa with nearly 3.43 million inhabitants in the same year, whereas Durban counted 3.12 million citizens. However, looking at cities including municipalities, Johannesburg ranks first. High rate of young population South Africa has a substantial population of young people. In 2024, approximately 34.3 percent of the people were aged 19 years or younger. Those aged 60 or older, on the other hand, made-up over 10 percent of the total population. Distributing South African citizens by marital status, approximately half of the males and females were classified as single in 2021. Furthermore, 29.1 percent of the men were registered as married, whereas nearly 27 percent of the women walked down the aisle. Youth unemployment Youth unemployment fluctuated heavily between 2003 and 2022. In 2003, the unemployment rate stood at 36 percent, followed by a significant increase to 45.5 percent in 2010. However, it fluctuated again and as of 2022, over 51 percent of the youth were registered as unemployed. Furthermore, based on a survey conducted on the worries of South Africans, some 64 percent reported being worried about employment and the job market situation.

  15. South Africa ZA: Death Rate: Crude: per 1000 People

    • ceicdata.com
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    CEICdata.com, South Africa ZA: Death Rate: Crude: per 1000 People [Dataset]. https://www.ceicdata.com/en/south-africa/population-and-urbanization-statistics/za-death-rate-crude-per-1000-people
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Africa
    Variables measured
    Population
    Description

    South Africa ZA: Death Rate: Crude: per 1000 People data was reported at 9.793 Ratio in 2016. This records a decrease from the previous number of 10.102 Ratio for 2015. South Africa ZA: Death Rate: Crude: per 1000 People data is updated yearly, averaging 11.455 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 14.815 Ratio in 1960 and a record low of 8.199 Ratio in 1991. South Africa ZA: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

  16. f

    South Africa Education Data and Visualisations

    • ufs.figshare.com
    png
    Updated Aug 15, 2023
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    Herkulaas Combrink; Elizabeth Carr; Katinka de wet; Vukosi Marivate; Benjamin Rosman (2023). South Africa Education Data and Visualisations [Dataset]. http://doi.org/10.38140/ufs.22081058.v4
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    pngAvailable download formats
    Dataset updated
    Aug 15, 2023
    Dataset provided by
    University of the Free State
    Authors
    Herkulaas Combrink; Elizabeth Carr; Katinka de wet; Vukosi Marivate; Benjamin Rosman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Africa
    Description

    The tabular and visual dataset focuses on South African basic education and provides insights into the distribution of schools and basic population statistics across the country. This tabular and visual data are stratified across different quintiles for each provincial and district boundary. The quintile system is used by the South African government to classify schools based on their level of socio-economic disadvantage, with quintile 1 being the most disadvantaged and quintile 5 being the least disadvantaged. The data was joined by extracting information from the debarment of basic education with StatsSA population census data. Thereafter, all tabular data and geo located data were transformed to maps using GIS software and the Python integrated development environment. The dataset includes information on the number of schools and students in each quintile, as well as the population density in each area. The data is displayed through a combination of charts, maps and tables, allowing for easy analysis and interpretation of the information.

  17. South Africa ZA: Refugee Population: by Country or Territory of Origin

    • ceicdata.com
    Updated Aug 7, 2024
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    CEICdata.com (2024). South Africa ZA: Refugee Population: by Country or Territory of Origin [Dataset]. https://www.ceicdata.com/en/south-africa/population-and-urbanization-statistics/za-refugee-population-by-country-or-territory-of-origin
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    Dataset updated
    Aug 7, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    South Africa
    Variables measured
    Population
    Description

    South Africa ZA: Refugee Population: by Country or Territory of Origin data was reported at 427.000 Person in 2016. This records a decrease from the previous number of 450.000 Person for 2015. South Africa ZA: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 423.000 Person from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 14,783.000 Person in 1990 and a record low of 123.000 Person in 2001. South Africa ZA: Refugee Population: by Country or Territory of Origin data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  18. South African Census 1985 - South Africa

    • datafirst.uct.ac.za
    Updated Mar 29, 2020
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    Statistics South Africa (2020). South African Census 1985 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/146
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    Dataset updated
    Mar 29, 2020
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1985
    Area covered
    South Africa
    Description

    Abstract

    The population census conducted in South Africa in 1985 covered the whole of South Africa, but excluded the "Homelands" of Transkei, Bophutatswana, Ciskei, and Venda. This dataset is the full census, as opposed to the 10% sample datasets provided by Statistics South Africa from 1996 onwards.

    Geographic coverage

    The 1985 census covered the so-called white areas of South Africa - the provinces of the Cape, the Orange Free State, Transvaal, and Natal - and the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele. The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.

    The 1985 Census dataset has 9 data files. These refer to Development Regions demarcated by the South African Government according to their socio-economic conditions and development needs. These Development Regions are labeled A to J (there is no Region I, presumably because Statistics SA felt an "I" could be confused with the number 1). The 9 data files in the 1985 Census dataset refer to the following areas:

    DEV REGION AREA COVERED A Western Cape Province including Walvis Bay B Northern Cape C Orange Free State and Qwaqwa D Eastern Cape/Border E Natal and Kwazulu F Eastern Transvaal, KaNgwane and part of the Simdlangentsha district of Kwazulu G Northern Transvaal, Lebowa and Gazankulu H PWV area, Moutse and KwaNdebele J Western Transvaal

    Analysis unit

    The units of analysis under observation in the South African census 1985 are households and individuals

    Universe

    All persons who were present on Republic of South African territory during census night were enumerated. Visitors from abroad who were present in the RSA on holiday or business on the night of the census, as well as foreigners (and their families) who were studying or economically active, were enumerated but not included in the final data. Likewise, members of the Diplomatic and Consular Corps of foreign countries were not included. However, the South African personnel linked to the foreign missions including domestic workers were enumerated. Crews and passengers of ships were also not enumerated, unless they were normally resident in the Republic of South Africa. Residents of the RSA who were absent from the night were as far as possible enumerated on their return and included in the region where they normally resided. Personnel of the South African Government stationed abroad and their families were, however enumerated. Such persons were included in the Transvaal (Pretoria).

    Kind of data

    Census/enumeration data [cen]

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The1985 population census questionnaire was administered to each household and collected information on household and area type, and information on household members, including relationship within household, sex, age, marital status, population group, birthplace, country of citizenship, level of education, occupation, identity of employer and the nature of economic activities

    Data appraisal

    UNDER-ENUMERATION: The following under-enumeration figures have been calculated for the 1985 census. Estimated percentage distribution of undercount by race according to the HSRC: Percent undercount
    Whites 7.6%
    Blacks in the “RSA” 20.4% Blacks in the “National States” 15.1% Coloureds 1.0% Asians 4.6%

  19. i

    Population Census 1960 - South Africa

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    Bureau of Statistics (2019). Population Census 1960 - South Africa [Dataset]. http://catalog.ihsn.org/catalog/639
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Bureau of Statistics
    Time period covered
    1960
    Area covered
    South Africa
    Description

    Geographic coverage

    National

    Kind of data

    Census/enumeration data [cen]

    Mode of data collection

    Face-to-face [f2f]

  20. F

    Infra-Annual Labor Statistics: Working-Age Population Male: From 15 to 64...

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
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    (2025). Infra-Annual Labor Statistics: Working-Age Population Male: From 15 to 64 Years for South Africa [Dataset]. https://fred.stlouisfed.org/series/LFWA64MAZAQ647S
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    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    South Africa
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Male: From 15 to 64 Years for South Africa (LFWA64MAZAQ647S) from Q3 2000 to Q1 2025 about working-age, South Africa, 15 to 64 years, males, and population.

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Statista (2025). Total population of South Africa 2022, by ethnic groups [Dataset]. https://www.statista.com/statistics/1116076/total-population-of-south-africa-by-population-group/
Organization logo

Total population of South Africa 2022, by ethnic groups

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30 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
South Africa
Description

As of 2022, South Africa's population increased and counted approximately 60.6 million inhabitants in total, of which the majority (roughly 49.1 million) were Black Africans. Individuals with an Indian or Asian background formed the smallest population group, counting approximately 1.56 million people overall. Looking at the population from a regional perspective, Gauteng (includes Johannesburg) is the smallest province of South Africa, though highly urbanized with a population of nearly 16 million people.

Increase in number of households

The total number of households increased annually between 2002 and 2022. Between this period, the number of households in South Africa grew by approximately 65 percent. Furthermore, households comprising two to three members were more common in urban areas (39.2 percent) than they were in rural areas (30.6 percent). Households with six or more people, on the other hand, amounted to 19.3 percent in rural areas, being roughly twice as common as those in urban areas.

Main sources of income

The majority of the households in South Africa had salaries or grants as a main source of income in 2019. Roughly 10.7 million drew their income from regular wages, whereas 7.9 million households received social grants paid by the government for citizens in need of state support.

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